Pritam Dalal
Workbench: develop in Python using VS Code, JupyterLab, and Jupyter Notebook (classic)
Connect: deploy a wide range of Python data products including Jupyter Notebooks (reports, ETL jobs), Shiny for Python apps, Dash apps, FastAPIs, pins, Quarto projects
Package Manager: serves up a full PyPI mirror, currated repositories, and internally developed Python packages
Posit has a rich and storied history of developing open source software for the R ecosystem: RStudio IDE, tidyverse, Shiny.
In the last couple of years, Posit has begun significant development in the Python open source ecosystem with projects like Quarto, Vetiver, Shiny for Python.
All three Posit professional products (Workbench, Connect, Package Manager) have extensive support for Python data science.
We have extended our open-source mission to include Python with project like Vetiver, Shiny for Python, and Quarto. We also financially support Python open source by sponsoring Numfocus.
Given our deep history with R, and our extensive support for Python, Posit Team is great for bilingual data science teams.
Posit Team is an excellent solution for Python only teams.
Warning!
This talk is not intended to be a self-contained workshop. The examples in my github repo won’t just work.
The materials for this presentation can be found here:
pritam.dalal@posit.co